Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update S Lee, S Choi, SY Chung
Neural Information Processing Systems (NeurIPS) 2019, 2019
100 2019 Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture S Lee, SY Chung
Neural Information Processing Systems (NeurIPS) 2021, 2021
22 2021 Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making J Kim, S Lee, W Kim, Y Sung
International Conference on Learning Representations (ICLR) 2024, 2024
18 2024 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition S Lee, M Cho, Y Sung
Neural Information Processing Systems (NeurIPS) 2023, 2023
9 2023 Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling M Cho, J Park, S Lee, Y Sung
International Conference on Machine Learning (ICML), 2024
3 2024 Adaptive J Kim, S Lee, W Kim, Y Sung
Neural Information Processing Systems (NeurIPS) 2024, 2024
2 2024 Robust Reinforcement Learning Under Dimension-Wise State Information Drop G Kim, J Kim, S Lee, J Baek, H Moon, S Shin, Y Sung
IEEE Access, 2024
2024 Adaptive Intrinsic Motivation with Decision Awareness S Lee, SY Chung
Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022
2022 
Youngchul SungProfessor, Electrical Engineering, KAISTZweryfikowany adres z ee.kaist.ac.kr